METHODS FOR DRUG INTERACTION PREDICTION USING BIOLOGICAL RESPONSE PROFILES

Patent №

US 6,370,478

Granted

2002-04-09

Filed 1998

Owner

ROSETTA INPHARMATICS, INC.

+1 more

AI components

3

ml · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09222595

This invention provides methods for detecting and predicting drug interaction. In one embodiment of the invention, a plurality of cellular constituents in a biological sample is monitored as the sample is subject to various drug treatments. The response of the cellular constituents are analyzed to detect interactions. This method is particularly useful for predicting drug interaction using a model organism. It is also useful for analyzing interaction between any perturbations to a biological system.

Machine learningKnowledge representationAI hardwareG16B 25/10G16B 25/00G16H 50/50G16B 20/00G16B 40/00

AI classification

AI hardware1.00
Machine learning1.00
Knowledge representation0.95
Planning0.32
Natural language0.05
Speech0.00
Evolutionary computation0.00
Vision0.00

Ownership

ROSETTA INPHARMATICS, INC.

assignment · 98000620

MICROSOFT CORPORATION

assignment · 233550512

Assignors

STOUGHTON, ROLAND, STEPHANIANTS, SERGEY

On an employer assignment, the assignors are typically the inventors.

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